Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -1.2 * weight + 94
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 2 | GANJKHANLOU Mohammad | 72 |
| 5 | GUARDIOLA Salvador | 65 |
| 6 | YAMAMOTO Genki | 62 |
| 7 | CARCUEVA Jonel | 51 |
| 12 | LEBAS Thomas | 65 |
| 13 | ARIYAN Behnam | 70 |
| 16 | CARIÑO Daniel Ven | 56 |
| 18 | TSUBAKI Hiroshi | 62 |
| 19 | GOH Choon Huat | 54 |
| 26 | SALEH Mohd Harrif | 70 |
| 33 | ABDURRAHMAN Muhammad | 56 |
| 44 | GARCIA Marcos | 55 |
| 45 | GROSPE Ismael Jr. | 54 |
| 49 | FIKRI AZKA Mohammad | 54 |
| 50 | KURNIAWAN Maulana Fahrizal | 55 |